AI Data Associate - Dutch, Artificial General Intelligence

AI in this role

Evaluate and label multilingual text, speech, and video data to improve generative AI and LLM performance.

in-house-annotation-tools

data-annotationllm-evaluationdutchmachine-learning

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.

We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!

Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our biggest tenet
- Work with a range of different types of data including but not limited to text, speech, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
- Ability to make logical decisions while performing tasks even when provided information is ambiguous.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
- Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
- Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis

A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.

Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.

About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

Basic qualifications

- An Associate’s Degree or related work experience
- CEFR C1+ or equivalent fluency in Dutch language
- Written and spoken knowledge of English is essential (CEFR C1+)
- Strong business writing skills with ability to create reports, proposals, and professional correspondence
- Advanced reading comprehension with ability to analyze complex business documents
- Developed analytical thinking and structured problem-solving capabilities
- Strong ability to interpret and implement detailed instructions across various projects
- Proficient research skills with experience gathering and synthesizing information from multiple sources
- Proven attention to detail in managing complex tasks and documents

Preferred qualifications

- Bachelor’s degree in a relevant field
- Proven experience with demonstrated task execution ability
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Proven project coordination or management experience (for support functions teams)
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

AI Data Associate - Dutch, Artificial General Intelligence at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnnotationLLM EvaluationDutchMachine LearningIn House Annotation Tools

Questions you could be asked

Tell me about a project where data annotation was part of your work. What did you do?
Tell me about a project where llm evaluation was part of your work. What did you do?
Tell me about a project where dutch was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Walk me through how you've used In House Annotation Tools in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Annotation, LLM Evaluation, Dutch, Machine Learning, and In House Annotation Tools. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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